Triple

T12534587
Position Surface form Disambiguated ID Type / Status
Subject Orthanc E299654 entity
Predicate supportsProtocol P203 FINISHED
Object DICOM C-MOVE E732161 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DICOM C-MOVE | Statement: [Orthanc, supportsProtocol, DICOM C-MOVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DICOM C-MOVE
Context triple: [Orthanc, supportsProtocol, DICOM C-MOVE]
  • A. DICOMweb
    DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
  • B. DICOM PS3.7 Message Exchange chosen
    DICOM PS3.7 Message Exchange is the part of the DICOM standard that defines how medical imaging systems structure, manage, and communicate messages to exchange clinical data reliably between application entities.
  • C. DICOMweb STOW-RS
    DICOMweb STOW-RS is a web-based DICOM service that enables clients to store medical imaging studies and related data over HTTP using RESTful APIs.
  • D. DICOM Upper Layer Protocol
    DICOM Upper Layer Protocol is a network communication protocol that enables standardized exchange of medical imaging data between DICOM-compliant systems over TCP/IP.
  • E. DICOM Transfer Syntax
    DICOM Transfer Syntax is a specification within the DICOM standard that defines how medical imaging data is encoded, compressed, and exchanged between systems to ensure interoperability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.